GenAI Engineer
About the role
- Design and develop innovative AI/ML solutions in collaboration with OneAI Center of Excellence
- Develop systems architecture, technical roadmaps, and prototypes
- Build, test, and deploy AI models into production leveraging AWS services
- Continuously explore new AI techniques and methodologies to drive innovation
- Degree in Computer Science, Statistics, or related quantitative field 5+ years experience architecting and developing AI/ML systems, 1+ year experience with GenAI systems
- Expertise in Python, SQL, PyTorch, TensorFlow, and other ML libraries/frameworks
- Experience deploying solutions on cloud platforms like AWS. Familiarity with MLOps & AIOps principles.
- Strong communication, collaboration, and coaching skills
- Databricks experience
- Courageous collaboration across high-performing teams
- Opportunity to deliver AI innovations at epic scale
- An environment surrounded by curious lifelong learners
- A culture of innovation, ownership, and hands-on creativity
- Industry leadership in applying AI/ML to transform HRBelonging in a company committed to equality, diversity, and inclusion
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
